Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on “Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335”

פריטים דומים

• Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model
  מאת: Gentile, Francesco, et al.
  יצא לאור: (2021)
• Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335
  מאת: Jue, Joshua S., et al.
  יצא לאור: (2021)
• Automated Gleason grading of prostate cancer tissue microarrays via deep learning
  מאת: Arvaniti, Eirini, et al.
  יצא לאור: (2018)
• Concerning the statistical procedures enumerated by Gentile et al.: another perspective
  מאת: Keselman, H. J., et al.
  יצא לאור: (1974)
• Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies
  מאת: Lucas, Marit, et al.
  יצא לאור: (2019)